miro_api.models.get_board_item_content_logs_response

Miro Developer Platform

### Miro Developer Platform concepts - New to the Miro Developer Platform? Interested in learning more about platform concepts?? Read our introduction page and familiarize yourself with the Miro Developer Platform capabilities in a few minutes. ### Getting started with the Miro REST API - Quickstart (video): try the REST API in less than 3 minutes. - Quickstart (article): get started and try the REST API in less than 3 minutes. ### Miro REST API tutorials Check out our how-to articles with step-by-step instructions and code examples so you can: - Get started with OAuth 2.0 and Miro ### Miro App Examples Clone our Miro App Examples repository to get inspiration, customize, and explore apps built on top of Miro's Developer Platform 2.0.

The version of the OpenAPI document: v2.0 Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.

View Source

  1# coding: utf-8
  2
  3"""
  4Miro Developer Platform
  5
  6<img src=\"https://content.pstmn.io/47449ea6-0ef7-4af2-bac1-e58a70e61c58/aW1hZ2UucG5n\" width=\"1685\" height=\"593\">  ### Miro Developer Platform concepts  - New to the Miro Developer Platform? Interested in learning more about platform concepts?? [Read our introduction page](https://beta.developers.miro.com/docs/introduction) and familiarize yourself with the Miro Developer Platform capabilities in a few minutes.   ### Getting started with the Miro REST API  - [Quickstart (video):](https://beta.developers.miro.com/docs/try-out-the-rest-api-in-less-than-3-minutes) try the REST API in less than 3 minutes. - [Quickstart (article):](https://beta.developers.miro.com/docs/build-your-first-hello-world-app-1) get started and try the REST API in less than 3 minutes.   ### Miro REST API tutorials  Check out our how-to articles with step-by-step instructions and code examples so you can:  - [Get started with OAuth 2.0 and Miro](https://beta.developers.miro.com/docs/getting-started-with-oauth)   ### Miro App Examples  Clone our [Miro App Examples repository](https://github.com/miroapp/app-examples) to get inspiration, customize, and explore apps built on top of Miro's Developer Platform 2.0.
  7
  8The version of the OpenAPI document: v2.0
  9Generated by OpenAPI Generator (https://openapi-generator.tech)
 10
 11Do not edit the class manually.
 12"""  # noqa: E501
 13
 14from __future__ import annotations
 15import pprint
 16import re  # noqa: F401
 17import json
 18
 19from pydantic import BaseModel, Field, StrictInt, StrictStr
 20from typing import Any, ClassVar, Dict, List, Optional
 21from miro_api.models.board_item_content_log import BoardItemContentLog
 22from typing import Optional, Set
 23from typing_extensions import Self
 24
 25
 26class GetBoardItemContentLogsResponse(BaseModel):
 27    """
 28    Response for query using cursor and filter parameters.
 29    """  # noqa: E501
 30
 31    limit: Optional[StrictInt] = Field(
 32        default=None,
 33        description="The maximum number of results to return per call. If the number of logs in the response is greater than the limit specified, the response returns the cursor parameter with a value. ",
 34    )
 35    size: Optional[StrictInt] = Field(
 36        default=None,
 37        description="Number of results returned in the response considering the cursor and the limit values sent in the request. For example, if there are 20 results, the request does not have a cursor value, and the limit set to 10, the size of the results will be 10. In this example, the response will also return a cursor value that can be used to retrieve the next set of 10 remaining results in the collection. ",
 38    )
 39    data: Optional[List[BoardItemContentLog]] = Field(
 40        default=None, description="Contains the list of content logs for a board item."
 41    )
 42    cursor: Optional[StrictStr] = Field(
 43        default=None,
 44        description="Indicator of the position of the next page of the result. To retrieve the next page, make another query setting its cursor field to the value returned by the current query. If the value is empty, there are no more pages to fetch. ",
 45    )
 46    type: Optional[StrictStr] = Field(default="cursor-list", description="Type of the object returned.")
 47    additional_properties: Dict[str, Any] = {}
 48    __properties: ClassVar[List[str]] = ["limit", "size", "data", "cursor", "type"]
 49
 50    model_config = {
 51        "populate_by_name": True,
 52        "validate_assignment": True,
 53        "protected_namespaces": (),
 54    }
 55
 56    def to_str(self) -> str:
 57        """Returns the string representation of the model using alias"""
 58        return pprint.pformat(self.model_dump(by_alias=True))
 59
 60    def to_json(self) -> str:
 61        """Returns the JSON representation of the model using alias"""
 62        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 63        return json.dumps(self.to_dict())
 64
 65    @classmethod
 66    def from_json(cls, json_str: str) -> Optional[Self]:
 67        """Create an instance of GetBoardItemContentLogsResponse from a JSON string"""
 68        return cls.from_dict(json.loads(json_str))
 69
 70    def to_dict(self) -> Dict[str, Any]:
 71        """Return the dictionary representation of the model using alias.
 72
 73        This has the following differences from calling pydantic's
 74        `self.model_dump(by_alias=True)`:
 75
 76        * `None` is only added to the output dict for nullable fields that
 77          were set at model initialization. Other fields with value `None`
 78          are ignored.
 79        * Fields in `self.additional_properties` are added to the output dict.
 80        """
 81        excluded_fields: Set[str] = set(
 82            [
 83                "additional_properties",
 84            ]
 85        )
 86
 87        _dict = self.model_dump(
 88            by_alias=True,
 89            exclude=excluded_fields,
 90            exclude_none=True,
 91        )
 92        # override the default output from pydantic by calling `to_dict()` of each item in data (list)
 93        _items = []
 94        if self.data:
 95            for _item in self.data:
 96                if _item:
 97                    _items.append(_item.to_dict())
 98            _dict["data"] = _items
 99        # puts key-value pairs in additional_properties in the top level
100        if self.additional_properties is not None:
101            for _key, _value in self.additional_properties.items():
102                _dict[_key] = _value
103
104        return _dict
105
106    @classmethod
107    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
108        """Create an instance of GetBoardItemContentLogsResponse from a dict"""
109        if obj is None:
110            return None
111
112        if not isinstance(obj, dict):
113            return cls.model_validate(obj)
114
115        _obj = cls.model_validate(
116            {
117                "limit": obj.get("limit"),
118                "size": obj.get("size"),
119                "data": (
120                    [BoardItemContentLog.from_dict(_item) for _item in obj["data"]]
121                    if obj.get("data") is not None
122                    else None
123                ),
124                "cursor": obj.get("cursor"),
125                "type": obj.get("type") if obj.get("type") is not None else "cursor-list",
126            }
127        )
128        # store additional fields in additional_properties
129        for _key in obj.keys():
130            if _key not in cls.__properties:
131                _obj.additional_properties[_key] = obj.get(_key)
132
133        return _obj

class GetBoardItemContentLogsResponse(pydantic.main.BaseModel): View Source

 27class GetBoardItemContentLogsResponse(BaseModel):
 28    """
 29    Response for query using cursor and filter parameters.
 30    """  # noqa: E501
 31
 32    limit: Optional[StrictInt] = Field(
 33        default=None,
 34        description="The maximum number of results to return per call. If the number of logs in the response is greater than the limit specified, the response returns the cursor parameter with a value. ",
 35    )
 36    size: Optional[StrictInt] = Field(
 37        default=None,
 38        description="Number of results returned in the response considering the cursor and the limit values sent in the request. For example, if there are 20 results, the request does not have a cursor value, and the limit set to 10, the size of the results will be 10. In this example, the response will also return a cursor value that can be used to retrieve the next set of 10 remaining results in the collection. ",
 39    )
 40    data: Optional[List[BoardItemContentLog]] = Field(
 41        default=None, description="Contains the list of content logs for a board item."
 42    )
 43    cursor: Optional[StrictStr] = Field(
 44        default=None,
 45        description="Indicator of the position of the next page of the result. To retrieve the next page, make another query setting its cursor field to the value returned by the current query. If the value is empty, there are no more pages to fetch. ",
 46    )
 47    type: Optional[StrictStr] = Field(default="cursor-list", description="Type of the object returned.")
 48    additional_properties: Dict[str, Any] = {}
 49    __properties: ClassVar[List[str]] = ["limit", "size", "data", "cursor", "type"]
 50
 51    model_config = {
 52        "populate_by_name": True,
 53        "validate_assignment": True,
 54        "protected_namespaces": (),
 55    }
 56
 57    def to_str(self) -> str:
 58        """Returns the string representation of the model using alias"""
 59        return pprint.pformat(self.model_dump(by_alias=True))
 60
 61    def to_json(self) -> str:
 62        """Returns the JSON representation of the model using alias"""
 63        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 64        return json.dumps(self.to_dict())
 65
 66    @classmethod
 67    def from_json(cls, json_str: str) -> Optional[Self]:
 68        """Create an instance of GetBoardItemContentLogsResponse from a JSON string"""
 69        return cls.from_dict(json.loads(json_str))
 70
 71    def to_dict(self) -> Dict[str, Any]:
 72        """Return the dictionary representation of the model using alias.
 73
 74        This has the following differences from calling pydantic's
 75        `self.model_dump(by_alias=True)`:
 76
 77        * `None` is only added to the output dict for nullable fields that
 78          were set at model initialization. Other fields with value `None`
 79          are ignored.
 80        * Fields in `self.additional_properties` are added to the output dict.
 81        """
 82        excluded_fields: Set[str] = set(
 83            [
 84                "additional_properties",
 85            ]
 86        )
 87
 88        _dict = self.model_dump(
 89            by_alias=True,
 90            exclude=excluded_fields,
 91            exclude_none=True,
 92        )
 93        # override the default output from pydantic by calling `to_dict()` of each item in data (list)
 94        _items = []
 95        if self.data:
 96            for _item in self.data:
 97                if _item:
 98                    _items.append(_item.to_dict())
 99            _dict["data"] = _items
100        # puts key-value pairs in additional_properties in the top level
101        if self.additional_properties is not None:
102            for _key, _value in self.additional_properties.items():
103                _dict[_key] = _value
104
105        return _dict
106
107    @classmethod
108    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
109        """Create an instance of GetBoardItemContentLogsResponse from a dict"""
110        if obj is None:
111            return None
112
113        if not isinstance(obj, dict):
114            return cls.model_validate(obj)
115
116        _obj = cls.model_validate(
117            {
118                "limit": obj.get("limit"),
119                "size": obj.get("size"),
120                "data": (
121                    [BoardItemContentLog.from_dict(_item) for _item in obj["data"]]
122                    if obj.get("data") is not None
123                    else None
124                ),
125                "cursor": obj.get("cursor"),
126                "type": obj.get("type") if obj.get("type") is not None else "cursor-list",
127            }
128        )
129        # store additional fields in additional_properties
130        for _key in obj.keys():
131            if _key not in cls.__properties:
132                _obj.additional_properties[_key] = obj.get(_key)
133
134        return _obj

Response for query using cursor and filter parameters.

limit: Optional[Annotated[int, Strict(strict=True)]]

size: Optional[Annotated[int, Strict(strict=True)]]

data: Optional[List[miro_api.models.board_item_content_log.BoardItemContentLog]]

cursor: Optional[Annotated[str, Strict(strict=True)]]

type: Optional[Annotated[str, Strict(strict=True)]]

additional_properties: Dict[str, Any]

model_config = {'populate_by_name': True, 'validate_assignment': True, 'protected_namespaces': ()}

def to_str(self) -> str: View Source

57    def to_str(self) -> str:
58        """Returns the string representation of the model using alias"""
59        return pprint.pformat(self.model_dump(by_alias=True))

Returns the string representation of the model using alias

def to_json(self) -> str: View Source

61    def to_json(self) -> str:
62        """Returns the JSON representation of the model using alias"""
63        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
64        return json.dumps(self.to_dict())

Returns the JSON representation of the model using alias

@classmethod

def from_json(cls, json_str: str) -> Optional[typing_extensions.Self]: View Source

66    @classmethod
67    def from_json(cls, json_str: str) -> Optional[Self]:
68        """Create an instance of GetBoardItemContentLogsResponse from a JSON string"""
69        return cls.from_dict(json.loads(json_str))

Create an instance of GetBoardItemContentLogsResponse from a JSON string

def to_dict(self) -> Dict[str, Any]: View Source

 71    def to_dict(self) -> Dict[str, Any]:
 72        """Return the dictionary representation of the model using alias.
 73
 74        This has the following differences from calling pydantic's
 75        `self.model_dump(by_alias=True)`:
 76
 77        * `None` is only added to the output dict for nullable fields that
 78          were set at model initialization. Other fields with value `None`
 79          are ignored.
 80        * Fields in `self.additional_properties` are added to the output dict.
 81        """
 82        excluded_fields: Set[str] = set(
 83            [
 84                "additional_properties",
 85            ]
 86        )
 87
 88        _dict = self.model_dump(
 89            by_alias=True,
 90            exclude=excluded_fields,
 91            exclude_none=True,
 92        )
 93        # override the default output from pydantic by calling `to_dict()` of each item in data (list)
 94        _items = []
 95        if self.data:
 96            for _item in self.data:
 97                if _item:
 98                    _items.append(_item.to_dict())
 99            _dict["data"] = _items
100        # puts key-value pairs in additional_properties in the top level
101        if self.additional_properties is not None:
102            for _key, _value in self.additional_properties.items():
103                _dict[_key] = _value
104
105        return _dict

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic's self.model_dump(by_alias=True):

None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.
Fields in self.additional_properties are added to the output dict.

@classmethod

def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[typing_extensions.Self]: View Source

107    @classmethod
108    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
109        """Create an instance of GetBoardItemContentLogsResponse from a dict"""
110        if obj is None:
111            return None
112
113        if not isinstance(obj, dict):
114            return cls.model_validate(obj)
115
116        _obj = cls.model_validate(
117            {
118                "limit": obj.get("limit"),
119                "size": obj.get("size"),
120                "data": (
121                    [BoardItemContentLog.from_dict(_item) for _item in obj["data"]]
122                    if obj.get("data") is not None
123                    else None
124                ),
125                "cursor": obj.get("cursor"),
126                "type": obj.get("type") if obj.get("type") is not None else "cursor-list",
127            }
128        )
129        # store additional fields in additional_properties
130        for _key in obj.keys():
131            if _key not in cls.__properties:
132                _obj.additional_properties[_key] = obj.get(_key)
133
134        return _obj

Create an instance of GetBoardItemContentLogsResponse from a dict

def model_post_init(self: pydantic.main.BaseModel, __context: Any) -> None: View Source

265def init_private_attributes(self: BaseModel, __context: Any) -> None:
266    """This function is meant to behave like a BaseModel method to initialise private attributes.
267
268    It takes context as an argument since that's what pydantic-core passes when calling it.
269
270    Args:
271        self: The BaseModel instance.
272        __context: The context.
273    """
274    if getattr(self, '__pydantic_private__', None) is None:
275        pydantic_private = {}
276        for name, private_attr in self.__private_attributes__.items():
277            default = private_attr.get_default()
278            if default is not PydanticUndefined:
279                pydantic_private[name] = default
280        object_setattr(self, '__pydantic_private__', pydantic_private)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that's what pydantic-core passes when calling it.

Args: self: The BaseModel instance. __context: The context.

model_fields = {'limit': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, description='The maximum number of results to return per call. If the number of logs in the response is greater than the limit specified, the response returns the cursor parameter with a value. '), 'size': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, description='Number of results returned in the response considering the cursor and the limit values sent in the request. For example, if there are 20 results, the request does not have a cursor value, and the limit set to 10, the size of the results will be 10. In this example, the response will also return a cursor value that can be used to retrieve the next set of 10 remaining results in the collection. '), 'data': FieldInfo(annotation=Union[List[miro_api.models.board_item_content_log.BoardItemContentLog], NoneType], required=False, description='Contains the list of content logs for a board item.'), 'cursor': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description='Indicator of the position of the next page of the result. To retrieve the next page, make another query setting its cursor field to the value returned by the current query. If the value is empty, there are no more pages to fetch. '), 'type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, default='cursor-list', description='Type of the object returned.'), 'additional_properties': FieldInfo(annotation=Dict[str, Any], required=False, default={})}

model_computed_fields = {}

Inherited Members

pydantic.main.BaseModel: BaseModel; model_extra; model_fields_set; model_construct; model_copy; model_dump; model_dump_json; model_json_schema; model_parametrized_name; model_rebuild; model_validate; model_validate_json; model_validate_strings; dict; json; parse_obj; parse_raw; parse_file; from_orm; construct; copy; schema; schema_json; validate; update_forward_refs